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  5. Kubeadm AWS vs k3s

Kubeadm AWS vs k3s

OverviewComparisonAlternatives

Overview

k3s
k3s
Stacks97
Followers252
Votes16
kubeadm-aws
kubeadm-aws
Stacks2
Followers19
Votes0
GitHub Stars861
Forks56

Kubeadm AWS vs k3s: What are the differences?

Introduction

In this article, we will explore the key differences between Kubeadm AWS and k3s.

  1. Installation Process: Kubeadm AWS uses Kubeadm to bootstrap the Kubernetes cluster on AWS, requiring manual configuration of various components such as networking and storage. On the other hand, k3s aims to simplify the installation process by integrating all the required components within a single lightweight binary, resulting in a reduced installation footprint.

  2. Resource Requirements: Kubeadm AWS has higher resource requirements due to its use of the full Kubernetes stack, including etcd, kube-apiserver, kube-controller-manager, and kube-scheduler, which can be resource-intensive. In contrast, k3s is designed to be lightweight and optimized for edge computing and low-resource environments, utilizing only a fraction of the resources needed by Kubeadm AWS.

  3. Feature Set: Kubeadm AWS provides the complete Kubernetes feature set, including advanced networking and storage options, RBAC, and admission controllers. On the other hand, k3s focuses on simplicity and ease of use, sacrificing some advanced features to achieve its goal of lightweight and efficient operation.

  4. High Availability: Kubeadm AWS offers built-in support for setting up high availability clusters through the use of control plane replicas and load balancers. k3s, however, does not provide native support for high availability and requires additional configuration or the use of external tools to achieve the same level of redundancy.

  5. Cluster Management: Kubeadm AWS relies on external tools or custom scripts for cluster management tasks such as scaling, upgrading, or adding/removing nodes. On the other hand, k3s includes built-in cluster management capabilities, allowing easy scaling of the cluster, automatic node registration, and simplified node management.

  6. Compliance and Certifications: Kubeadm AWS has been developed by the CNCF and is certified as conformant with the Kubernetes specifications. It is widely deployed in production environments and offers strong community support. k3s, being a lightweight alternative, may not have the same level of certification and industry-recognized compliance as Kubeadm AWS.

In summary, Kubeadm AWS provides a full-featured and scalable Kubernetes solution suitable for production environments but with higher resource requirements, while k3s is a lightweight alternative optimized for edge computing and low-resource environments, sacrificing some advanced features for ease of use and reduced resource consumption.

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Detailed Comparison

k3s
k3s
kubeadm-aws
kubeadm-aws

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Bash and Terraform code which provisions affordable single master Kubernetes cluster on AWS. You can run a 1 master, 1 worker cluster for somewhere around $6 a month.

ARM64 and ARMv7 support; Simplified installation; SQLite3 support; etcd support; Automatic Manifest and Helm Chart management; containerd, CoreDNS, Flannel support
Automatic backup and recovery; Automated provisioning; Variables; Auto Scaling of worker nodes; Persistent volumes
Statistics
GitHub Stars
-
GitHub Stars
861
GitHub Forks
-
GitHub Forks
56
Stacks
97
Stacks
2
Followers
252
Followers
19
Votes
16
Votes
0
Pros & Cons
Pros
  • 6
    Lightweight
  • 4
    Easy
  • 2
    Scale Services
  • 2
    Open Source
  • 2
    Replication Controller
No community feedback yet
Integrations
Kubernetes
Kubernetes
SQLite
SQLite
Terraform
Terraform
Amazon EC2
Amazon EC2
NGINX
NGINX
Kubernetes
Kubernetes
AWS Elastic Load Balancing (ELB)
AWS Elastic Load Balancing (ELB)

What are some alternatives to k3s, kubeadm-aws?

Kubernetes

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

Flocker

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.

Kitematic

Kitematic

Simple Docker App management for Mac OS X

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